Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import requests
 from Pandas_Market_Predictor import Pandas_Market_Predictor
 import pandas as pd
+import numpy as np
 
 # Hard-coded API key for demonstration purposes
 API_KEY = "QR8F9B7T6R2SWTAT"
@@ -38,8 +39,8 @@ def calculate_indicators(data):
     data['12EMA'] = data['Close'].ewm(span=12).mean()
     data['MACD'] = data['12EMA'] - data['26EMA']
 
-    # Skip Ichimoku Cloud calculation
-    # data = calculate_ichimoku_cloud(data)
+    # Calculate Ichimoku Cloud
+    data = calculate_ichimoku_cloud(data)
 
     return data
 
@@ -59,12 +60,15 @@ def main():
 
     df = calculate_indicators(df)
 
-    print("Data after calculating indicators:")
-    print(df.head())  # Print the first few rows of data
-
     my_market_predictor = Pandas_Market_Predictor(df)
 
-    indicators = ["Doji", "Inside", "MA5", "MA20", "MACD"]  # Remove Ichimoku Cloud indicators
+    # Print data for each indicator before making predictions
+    for indicator in ["THR", "LGR", "THd", "THM"]:
+        indicator_data = my_market_predictor.get_indicator_data(indicator)
+        print(f"Data for {indicator}:")
+        print(indicator_data.head())  # Print the first few rows of data for the indicator
+
+    indicators = ["Doji", "Inside", "MA5", "MA20", "MACD", "tenkan_sen", "kijun_sen", "senkou_span_a", "senkou_span_b"]
     trend = my_market_predictor.Trend_Detection(indicators, 10)
 
     st.subheader("Predicted Trend:")